CN107172558A - A kind of novel horn fault detection method - Google Patents
A kind of novel horn fault detection method Download PDFInfo
- Publication number
- CN107172558A CN107172558A CN201710426624.3A CN201710426624A CN107172558A CN 107172558 A CN107172558 A CN 107172558A CN 201710426624 A CN201710426624 A CN 201710426624A CN 107172558 A CN107172558 A CN 107172558A
- Authority
- CN
- China
- Prior art keywords
- loudspeaker
- module
- reference value
- detection method
- signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R29/00—Monitoring arrangements; Testing arrangements
- H04R29/001—Monitoring arrangements; Testing arrangements for loudspeakers
Landscapes
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Otolaryngology (AREA)
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Signal Processing (AREA)
- Circuit For Audible Band Transducer (AREA)
Abstract
A kind of novel horn fault detection method, realizing the system of the detection method includes power amplifier module, sampling module, analysis module and excitation module；The fault detection method includes following process：The audio signal of fixed frequency is played, while the volume set is consistent when will be with generation loudspeaker detection a reference value；Module is encouraged to send pumping signal, the audio signal of fixed amplitude fixed frequency is amplified processing by power amplifier module reception after coming from the pumping signal of excitation module, and is exported on loudspeaker；Voltage signal between sampling module collection loudspeaker two ends, each sampling period takes n point, every m milliseconds of samplings once, samples altogether k cycle, and identical sample size is gathered during with generation loudspeaker detection a reference value；Analysis module, which is analyzed and compared to the voltage signal collected, obtains fiducial value, fiducial value is compared with loudspeaker detection a reference value, so that it may distinguish the state of loudspeaker.It is preferable, easy to use that the present invention proposes flexibility.
Description
Technical field
The present invention relates to loudspeaker field of fault detection, especially a kind of loudspeaker fault detection method.
Background technology
In the various vehicles such as vehicle, train, subway and steamer, in order to provide more convenient service to passenger, these
Typically loudspeaker are all equipped with the vehicles.Loudspeaker are mainly used in sound broadcast or play multimedia audio.But existing public transport
In system, loudspeaker do not have detecting system to differentiate its quality after installing, manually inspection finds and reported entirely.If unmanned inspection
Survey, then the state of loudspeaker can not be determined.However, in current public transit system, after loudspeaker are used for a long time or severe
Under environment after use, its probability broken down is greatly increased.Generally, if loudspeaker are when loudspeaker break down, related work people
Member can not obtain message and be repaired in the very first time, generally just be safeguarded after patrol officer has found.Work as loudspeaker
During failure, audio normal play can be influenceed, such as public transport term, safety instruction, multimedia audio etc. all can not be normal
Play, unnecessary loss is caused to associated companies, while influenceing the experience property of passenger, therefore can only manually go to distinguish loudspeaker
State.
In current vehicle, vehicle-mounted horn system does not carry out intellectualized detection, therefore there is a shortcoming：Vehicle-mounted sound
The work of frequency play system is influenceed by vehicle-mounted horn system, so that the state of vehicle-mounted loudspeaker directly affects car audio system
Function and effect.
In loudspeaker fault detect, Publication No. CN201410132934 has invented detection loudspeaker back cavity air-leakage test,
It is compared using loudspeaker both end voltage value and threshold value, so as to judge whether loudspeaker eardrum damages.This method detects loudspeaker
Eardrum air-tightness, it is impossible to detect loudspeaker whether short circuit or open circuit fault.
The content of the invention
In order to which the function of overcoming the shortcomings of existing loudspeaker fault detection approach is single, flexibility is poor, the present invention provides one
Plant preferable, the easy to use novel horn fault detection method of flexibility.
The technical solution adopted for the present invention to solve the technical problems is：
A kind of novel horn fault detection method, realize the detection method system include power amplifier module, sampling module,
Analysis module and excitation module；
The fault detection method includes following process：Play the audio signal of fixed frequency, fixed frequency and generation loudspeaker
The frequency used during detection a reference value is consistent, while the volume set is consistent when will be with generation loudspeaker detection a reference value；Excitation
Module sends pumping signal, and power amplifier module is received the sound of fixed amplitude fixed frequency after the pumping signal for coming from excitation module
Frequency signal is amplified processing, and is exported on loudspeaker；Voltage signal between sampling module collection loudspeaker two ends, each sampling week
Phase takes n point, every m milliseconds of samplings once, samples altogether k cycle, gathers identical during with generation loudspeaker detection a reference value
Sample size；Analysis module, which is analyzed and compared to the voltage signal collected, obtains fiducial value, by fiducial value and loudspeaker
Detection a reference value is compared, so that it may distinguish the state of loudspeaker.
Further, in interval value on the basis of the loudspeaker detection a reference value, the analysis module, by fiducial value and reference region
Between value compare, if in a reference value is interval, loudspeaker are intact；If not in interval, loudspeaker are abnormal.
Further, the generating process of the loudspeaker detection a reference value is as follows：The audio of one section of fixed frequency is played first,
Reproduction time t seconds, is sampled and is analyzed so as to obtain a reference value of loudspeaker detection, a reference value can be used to sentence to voice data
Whether disconnected loudspeaker are normal.
Further, during loudspeaker detection a reference value generation, excitation module forms pumping signal and transmission should
Pumping signal, the pumping signal is exactly the audio signal of fixed frequency；Power amplifier module receives the excitation for coming from excitation module
Signal, is then amplified, and be output to loudspeaker to this pumping signal；Voltage letter between sampling module collection loudspeaker two ends
Number, each sampling period takes n point, every m milliseconds of samplings once, samples altogether k cycle；Analysis module is to being gathered
Data are counted and analyzed, and form a reference value of loudspeaker detection.
The pumping signal that the excitation module is sent is sine wave or square wave.
Sample k cycle, the average value of sampled signal is analyzed and handled, and a reference value range intervals is obtained, this area
Between as loudspeaker detect a reference value, be used as distinguish loudspeaker state foundation.
Beneficial effects of the present invention are mainly manifested in：Loudspeaker eardrum air-tightness is detected, while loudspeaker can be detected whether
Short circuit or open circuit fault；Flexibility is preferable, easy to use.
Brief description of the drawings
Fig. 1 is the schematic diagram of loudspeaker fault detection system.
Fig. 2 is a reference value formation flow chart.
Fig. 3 is the flow chart of novel horn fault detect.
Embodiment
The invention will be further described below in conjunction with the accompanying drawings.
1~Fig. 3 of reference picture, a kind of novel horn fault detection method, realizing the system of the detection method includes power amplifier
Modules A, sampling module B, analysis module C and excitation module D；It should be noted that in actual use, mainly by generating
The two large divisions such as the normal a reference value of loudspeaker and the state of detection loudspeaker is examined to constitute.
Loudspeaker detect the generation of a reference value：The audio of one section of fixed frequency of system plays (such as 1OHZ), reproduction time t first
Second, system is sampled and analyzed to voice data so as to obtain a reference value of loudspeaker detection, and a reference value can be used to judge loudspeaker
It is whether normal.During a reference value is generated, module D-shaped is into pumping signal and sends the pumping signal for excitation, excitation letter
Number it is exactly the audio signal of fixed frequency.Power amplifier module A receives the pumping signal for coming from excitation module D, and then this is swashed
Encourage signal to be amplified, and be output to loudspeaker.Voltage signal between sampling module B collection loudspeaker two ends, each sampling period
N point is taken, every m milliseconds of samplings once, is sampled altogether k cycle.Analysis module C is counted simultaneously to the data gathered
Analysis, forms a reference value of loudspeaker detection.The pumping signal that excitation module D is sent is probably sine wave or square wave or other waveforms
Deng.If pumping signal is sine wave, then the signal that sampling module B is collected is sine wave, the electricity that now loudspeaker are upsampled to
Pressure signal is fluctuated over time, therefore in order to precisely form loudspeaker detection a reference value, system can sample k cycle, to a large amount of
Sampled data is analyzed and obtains a reference value.The initial phase sampled simultaneously within each cycle has deviation, therefore every time
The voltage signal collected can have deviation, then a reference value also has deviation.It is accurate in order to ensure detection, therefore to sampling
The average value of signal is analyzed and handled, and obtains a reference value range intervals.System is used as loudspeaker to detect a reference value in this interval
C, is used as the foundation for distinguishing loudspeaker state.Other loudspeaker sampled voltage signal can change with the change of horn volume, therefore
In loudspeaker detection a reference value generation, the volume of system need to be set to fixed value b.
During this loudspeaker intelligent checking system is detected, the audio letter of system plays fixed amplitude fixed frequency (such as 10HZ)
Number, the volume that simultaneity factor is set is consistent when will be with generation loudspeaker detection a reference value, and (both systems set volume consistent, volume
It is all b).Excitation module D is used to send pumping signal, and power amplifier module A receives the pumping signal for coming from excitation module D, and it will
The audio signal of fixed amplitude fixed frequency is amplified processing, and is exported on loudspeaker.Between sampling module B collection loudspeaker two ends
Voltage signal, each sampling period takes n point, every m milliseconds of samplings once, samples altogether k cycle, with generating loudspeaker
Identical sample size is gathered when detecting a reference value.Analysis module C is analyzed and compared to the voltage signal collected and obtained
Fiducial value, fiducial value is compared with a reference value, so that it may distinguish the state of loudspeaker.
Such as short-circuit when loudspeaker break down, when breaking, the voltage signal collected can significant change.By fiducial value with
A reference value interval value c compares, if in a reference value is interval, loudspeaker are intact；If not in interval, loudspeaker are abnormal.
The state of loudspeaker is obtained after system detectio loudspeaker, the state of loudspeaker is uploaded to by network by system.Related personnel
The state of loudspeaker is achieved with system or operation backstage, facilitates related personnel to understand the state of loudspeaker in time, and it is right
Bad loudspeaker are changed in time, ensure the normal work of audio system.
The detection loudspeaker fault method of the present embodiment, as shown in figure 1, realizing the system of this method mainly has four pieces of compositions,
It is power amplifier module A, sampling module B, analysis module C, excitation module D respectively.Wherein power amplifier module A, audio signal is put
Big processing, and by signal output to loudspeaker；Sampling module B, gathers the positive and negative extreme voltage signal of loudspeaker；Analysis module C, will be adopted
The voltage signal collected, averaged.Module D is encouraged, for sending wave audio sample；Power amplifier module A, sampling module B,
Analysis module C, excitation module D occur with separate physical form, assembly physical aspect or overall physical aspect etc.；Therefore
In the description of the invention, they are four separated functional modules.
The a reference value that loudspeaker are detected in the present invention is formed, as shown in Figure 2.In this example, loudspeaker detect the formation master of a reference value
To be made up of four parts such as transmission pumping signal, sampling initial value, statistics initial value and preservation a reference values.Intelligently examined in loudspeaker
When examining system starts, it is 20 that constant volume in constant volume, the present embodiment is set first；Then system is sent by excitation module D
Pumping signal, this pumping signal is the frequency of the audio signal, wherein the present embodiment sound intermediate frequency signal of fixed amplitude fixed frequency
For 10Hz, while the present embodiment sound intermediate frequency signal is sine wave signal.Sample k cycle, adopted in each cycle in the present embodiment
N signal of sample, total sampling time is t seconds, and system is carried out after statistics and analysis to the data collected, obtains the initial of benchmark
Value.Because the model initial phase taken in each cycle is different, therefore the data obtained every time can all have deviation.By to big
Measure the analysis of sampled data and compare, obtain loudspeaker detection a reference value interval, this interval value is used as loudspeaker and detects a reference value
Basis for estimation, it is interval that system preserves this reference value.
The loudspeaker fault detect stage in the present invention, as shown in Figure 3.During system detectio loudspeaker, sent first by excitation module D
Pumping signal, consistent when now pumping signal should be with generation loudspeaker detection a reference value, the amplitude and frequency of both signals all answer one
Cause, the frequency of the present embodiment sound intermediate frequency signal is 10Hz, while the present embodiment sound intermediate frequency signal is sine wave signal.Due to volume
Also sampled signal can be influenceed, therefore volume one of volume during system detectio loudspeaker when should generate loudspeaker detection a reference value with system
Cause, both volumes are both configured to 20 in the present embodiment.Sampled in embodiment k cycle, n signal of sampling in each cycle, always
Sampling time be t second, with formed loudspeaker detect a reference value when it is consistent.System carries out statistics and analysis to the data collected
Afterwards, the detected value of system detectio loudspeaker is obtained.
Detected value is compared by loudspeaker intelligent checking system with a reference value interval c, if detected value is in a reference value interval c
It is interior, then to judge that loudspeaker are in good condition；If detected value is not in the c of benchmark interval, then judge that loudspeaker break down, loudspeaker are needed
Change.Testing result is fed back to relevant staff by system by network, so that staff understands loudspeaker state in time,
Guarantee system is well run.
This example is implemented on bus, and the function of loudspeaker Intelligent Measurement in public transit vehicle can be achieved.Loudspeaker intelligence
Detecting system can effective detection loudspeaker state, it is to avoid unnecessary economic loss, while providing the experience of passenger.
Finally, in addition it is also necessary to it is noted that listed above is only specific embodiment of the invention.Obviously, the present invention is not limited
In above example, there can also be many deformations.One of ordinary skill in the art can directly lead from present disclosure
All deformations for going out or associating, are considered as the protection domain of invention.
Claims (6)
1. a kind of novel horn fault detection method, it is characterised in that：Realize the detection method system include power amplifier module,
Sampling module, analysis module and excitation module；
The fault detection method includes following process：Play the audio signal of fixed frequency, fixed frequency and generation loudspeaker inspection
The frequency used during a reference value is surveyed consistent, while the volume set is consistent when will be with generation loudspeaker detection a reference value；Encourage module
Pumping signal is sent, power amplifier module believes the audio of fixed amplitude fixed frequency after receiving the pumping signal for coming from excitation module
Processing number is amplified, and is exported on loudspeaker；Voltage signal between sampling module collection loudspeaker two ends, each sampling period adopts
N point is taken, every m milliseconds of samplings once, is sampled altogether k cycle, identical sample is gathered during with generation loudspeaker detection a reference value
This quantity；Analysis module analyze obtaining fiducial value to the voltage signal collected, and fiducial value and loudspeaker are detected into a reference value
It is compared, so that it may distinguish the state of loudspeaker.
2. novel horn fault detection method as claimed in claim 1, it is characterised in that：The loudspeaker detection a reference value is base
In quasi- interval value, the analysis module, fiducial value is compared with benchmark interval value, if in a reference value is interval, loudspeaker are complete
It is good；If not in interval, loudspeaker are abnormal.
3. novel horn fault detection method as claimed in claim 1 or 2, it is characterised in that：The loudspeaker detect a reference value
Generating process it is as follows：The audio of one section of fixed frequency is played first, and reproduction time t seconds is sampled and divided to voice data
Analysis is so as to obtain a reference value of loudspeaker detection, and a reference value can be used to judge whether loudspeaker are normal.
4. novel horn fault detection method as claimed in claim 3, it is characterised in that：In loudspeaker detection a reference value life
Into period, excitation module forms pumping signal and sends the pumping signal, and the pumping signal is exactly the audio letter of fixed frequency
Number；Power amplifier module receives the pumping signal for coming from excitation module, and then this pumping signal is amplified, and is output to
Loudspeaker；Voltage signal between sampling module collection loudspeaker two ends, each sampling period takes n point, every m milliseconds of samplings one
It is secondary, sample altogether k cycle；Analysis module is counted and analyzed to the data gathered, forms a reference value of loudspeaker detection.
5. novel horn fault detection method as claimed in claim 4, it is characterised in that：The excitation that the excitation module is sent
Signal is sine wave or square wave.
6. novel horn fault detection method as claimed in claim 4, it is characterised in that：Sample k cycle, sampled signal
Average value is analyzed and handled, and obtains a reference value range intervals, and this is interval as loudspeaker detection a reference value, is used as and is distinguished loudspeaker
The foundation of state.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710426624.3A CN107172558A (en) | 2017-06-08 | 2017-06-08 | A kind of novel horn fault detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710426624.3A CN107172558A (en) | 2017-06-08 | 2017-06-08 | A kind of novel horn fault detection method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107172558A true CN107172558A (en) | 2017-09-15 |
Family
ID=59824902
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710426624.3A Pending CN107172558A (en) | 2017-06-08 | 2017-06-08 | A kind of novel horn fault detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107172558A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110557700A (en) * | 2019-10-11 | 2019-12-10 | 余焰 | Intelligent power amplifier device |
| CN113674730A (en) * | 2021-08-12 | 2021-11-19 | 西安艾科特声学科技有限公司 | Secondary sound source with fault detection function for active noise control system and fault detection method |
| CN114257941A (en) * | 2021-11-18 | 2022-03-29 | 慧翰微电子股份有限公司 | Working state detection method and vehicle-mounted equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2783677Y (en) * | 2005-01-18 | 2006-05-24 | 梁松原 | Fault detector for louderspeakers of broad casting line |
| CN101938685A (en) * | 2010-04-20 | 2011-01-05 | 惠州市德赛西威汽车电子有限公司 | Automatic diagnosis method of automobile sound loudspeaker and antenna |
| CN102761817A (en) * | 2012-08-11 | 2012-10-31 | 无锡杰夫电声有限公司 | Power test system and power test method of loudspeaker |
| CN103747405A (en) * | 2013-12-18 | 2014-04-23 | 歌尔声学股份有限公司 | Loudspeaker reliability test device |
| CN105307099A (en) * | 2015-11-11 | 2016-02-03 | 西安工程大学 | System for testing power of loudspeaker and method for testing power and low-frequency parameter |
| CN105704634A (en) * | 2016-02-22 | 2016-06-22 | 惠州华阳通用电子有限公司 | Feedback audio output detection method and device |
| CN106488378A (en) * | 2016-12-30 | 2017-03-08 | 广州市保伦电子有限公司 | A kind of speaker loop state detection means |
-
2017
- 2017-06-08 CN CN201710426624.3A patent/CN107172558A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2783677Y (en) * | 2005-01-18 | 2006-05-24 | 梁松原 | Fault detector for louderspeakers of broad casting line |
| CN101938685A (en) * | 2010-04-20 | 2011-01-05 | 惠州市德赛西威汽车电子有限公司 | Automatic diagnosis method of automobile sound loudspeaker and antenna |
| CN102761817A (en) * | 2012-08-11 | 2012-10-31 | 无锡杰夫电声有限公司 | Power test system and power test method of loudspeaker |
| CN103747405A (en) * | 2013-12-18 | 2014-04-23 | 歌尔声学股份有限公司 | Loudspeaker reliability test device |
| CN105307099A (en) * | 2015-11-11 | 2016-02-03 | 西安工程大学 | System for testing power of loudspeaker and method for testing power and low-frequency parameter |
| CN105704634A (en) * | 2016-02-22 | 2016-06-22 | 惠州华阳通用电子有限公司 | Feedback audio output detection method and device |
| CN106488378A (en) * | 2016-12-30 | 2017-03-08 | 广州市保伦电子有限公司 | A kind of speaker loop state detection means |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110557700A (en) * | 2019-10-11 | 2019-12-10 | 余焰 | Intelligent power amplifier device |
| CN113674730A (en) * | 2021-08-12 | 2021-11-19 | 西安艾科特声学科技有限公司 | Secondary sound source with fault detection function for active noise control system and fault detection method |
| CN113674730B (en) * | 2021-08-12 | 2024-04-26 | 西安艾科特声学科技有限公司 | Secondary sound source with fault detection function for active noise control system and fault detection method |
| CN114257941A (en) * | 2021-11-18 | 2022-03-29 | 慧翰微电子股份有限公司 | Working state detection method and vehicle-mounted equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107172558A (en) | A kind of novel horn fault detection method | |
| CN105021958A (en) | Switch cabinet partial discharge data recording and analyzing method based on multi-sensor detection | |
| CN202720309U (en) | Detection and positioning system for partial discharging | |
| CN102331540A (en) | On-line monitoring device and method for corona discharge of ultra-high voltage power transmission line | |
| CN106197650A (en) | A kind of method judging that audio signal is noiseless | |
| CN202110228U (en) | Insulator fault detection instrument | |
| CN111653291B (en) | Intelligent health monitoring method for power equipment based on voiceprint | |
| CN102616156B (en) | Device and method for detecting and elevating contact network state based on electrical capacity analysis | |
| CN105699866B (en) | The method for detecting rail traffic insulating element using UV corona technology | |
| CN109443190A (en) | Transient traveling wave-based transformer winding deformation online monitoring method and device | |
| CN102565621A (en) | Detection device and detection method for cable status of transponder | |
| CN104090252A (en) | Comprehensive detecting system and method for cable type fault indicator | |
| CN202330624U (en) | Partial discharge ultrasonic wave detection device | |
| CN105242187A (en) | Self-triggering power transmission line insulator pollution flashover early-warning device | |
| CN102519581A (en) | Separation method of power transformer vibration signal | |
| CN110321585A (en) | Based on GA-BP neural network switchgear method for detecting insulation defect and system | |
| CN115078912A (en) | Method and system for detecting abnormity of roof high-voltage cable connector in real time and train | |
| CN208399633U (en) | High-voltage cable GIS terminal Partial Discharge Detection and diagnostic system | |
| CN117169639B (en) | Product detection method and system for power adapter production | |
| CN112927720B (en) | Audio anomaly detection method and device | |
| CN104502841A (en) | Circuit breaker condition monitoring system | |
| CN205038308U (en) | Collection system of intrinsic separating brake time of circuit breaker | |
| CN115453283A (en) | Two-in-one partial discharge sensor detection device and method | |
| CN109572757A (en) | A kind of detection of railway falling rocks and localization method, device | |
| CN110703050B (en) | Method for accurately positioning fault point in GIL (gate in line) voltage withstand test |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170915 |